Créer un notebook avec Quarto: principes, fonctionnalités

---
title: "My document"
author: "Me"
format: html
---

---
title: "My pdf document"
author: "Me"
format: pdf
---

---
title: "My docx document"
author: "Me"
format: docx
---

---
title: "My presentation"
author: "Me"
format: revealjs / beamer / pptx
---

---
title: "OpenStreetMap data and associated routing engine to produce novel data on rural areas in Europe"
subtitle: "Review data and methods" 
author:
  - name: "Ronan Ysebaert, Marianne Guérois\n, Timothée Giraud, Nicolas Lambert, Matthieu Viry" 
    affiliation: UAR RIATE (CNRS,  Université Paris Cité) 
    affiliation-url: https://riate.cnrs.fr/
date: "2023-05-25"
description: "This review of the literature and data availability aims at providing an overview of possible solutions and limitations for creating accessibility indicators at European context. Whatever the solution retained, computing accessibility indicators requires relevant origins / destination pairs and routing engines for computing travel-time indicators. It is afterward possible to propose a large set of indicators derived from these measures. The first part of the document presents at European scale the policy context and the main initiatives developed so far for proposing harmonized indicators on accessibility. The second one reminds the main issues to be considered when calculating accessibility indicators (origin-destination pairs, routing engines, accessibility indicators computation). The third section makes an overview of existing databases and possibilities that could be considered in a European context for the selection of origins / destinations pairs. The fourth part highlights existing solutions for routing engines according to several transportation modes (road, cycle, transport-transit). Finally, the last section discusses on possibilities offered in term of indicator creation when the travel time matrix is calculated with a case-study on hospitals in France. This case-study could be extended in a cross-border context to test this framework within GRANULAR activities. At the end, this report aims at providing a general research framework on the activities that will be held on task 3.3.1 of the GRANULAR project: Crowd-sources data based on OpenStreetMap."
title-block-banner: "#27445C"
bibliography: bib.bib
format:
  html:
    theme: sandstone
    embed-resources: true
    smooth-scroll: true
    fontsize: 0.9em
    code-tools: true
    code-fold: true
    toc: true
    toc-title: Summary
    toc-depth: 2
    toc-location: left
    css: "styles.css"
    linkcolor: "#d52420"
---

Voici du code Julia pour créer un joli cercle. 

```{julia}
radius = 10
using Markdown
Markdown.parse("""
The radius of the circle is $radius.
""")
```

Puis un graphique créé avec la librairie python matplotlib 

```{python}
import matplotlib.pyplot as plt
plt.plot([1,2,3,4])
plt.show()
```

Un graphique avec la librarie ggplot de R peut être ?

```{r}
library(ggplot2)
ggplot(airquality, aes(Temp, Ozone)) + 
  geom_point() + 
  geom_smooth(method = "loess", se = FALSE)
```

Mais pourquoi pas un joli graphique interactif avec
Observable JavaScript ?

```{ojs}
data = FileAttachment("palmer-penguins.csv").csv({ typed: true })

viewof bill_length_min = Inputs.range(
  [32, 50], 
  {value: 35, step: 1, label: "Bill length (min):"}
)
viewof islands = Inputs.checkbox(
  ["Torgersen", "Biscoe", "Dream"], 
  { value: ["Torgersen", "Biscoe"], 
    label: "Islands:"
  }
)

data = FileAttachment("palmer-penguins.csv").csv({ typed: true })

Plot.rectY(filtered, 
  Plot.binX(
    {y: "count"}, 
    {x: "body_mass", fill: "species", thresholds: 20}
  ))
  .plot({
    facet: {
      data: filtered,
      x: "sex",
      y: "species",
      marginRight: 80
    },
    marks: [
      Plot.frame(),
    ]
  }
)
```